Tutorial using machine learning clustering algorithms on a wastewater treatment plant from daily sensors. Python code provided on GitHub.
Yearly Archives: 2020
#Project #Management outline from initialization to closeout put together using PMBOK's 5th edition Guide as a reference. All text files can be downloaded from my repo and ready for use for your own PM journey.
Project Management Outline Reference
This article covers my setup of a clean slated #macOS decked out with an aesthetically pleasing #CLI and #Python setup ready for development. #Homebrew > #Git > iTerm2 with Oh My Zsh with fzf powerful fuzzy searching and integration with #vim
macOS Initial setup of CLI and Python Dev
Article covers my setup of Python on both Windows 10 using Chocolately and WSL 1 (Debian distro) using pip tools. Clean install through to git version control discussed.
Python, pip, WSL 1 Debian Setup on Windows 10
I cover my setup of Python on both Windows 10 using Chocolately and WSL 2 (Ubuntu distro) using Miniconda. Discuss PowerToys and Jupyter.
Python, Conda, WSL 2 Ubuntu Setup on Windows 10
Is weekly timesheet entry at the bottom of your task list? I have tried many systems to enlighten this chore, from pen and paper to now online time tracking and reporting using #Python #API requests. This is an early version of a personal #KPI metrics based system, that I can extend to suit project specifics.
Online Time Tracking and Reporting with Python API
Using Python, we will extract the APRA MySuper Heatmap data and create easy to read heatmaps of the top 15 funds based on returns and finding low fees.
Simplified APRA MySuper Heatmaps with Python
Linear interpolation in Microsft Excel: =IFERROR( IF( [@[x_axis]] = MAX(T_Inputs[x_axis]), INDEX(T_Inputs, MATCH([@[x_axis]], T_Inputs[x_axis], 1 ), MATCH([@[data_columns]], VALUE(T_Inputs[#Headers]), 0) ), ( INDEX(T_Inputs, MATCH([@[x_axis]], T_Inputs[x_axis],1), MATCH([@[data_columns]], VALUE(T_Inputs[#Headers]), 0 ) ) * ( IF([@[x_axis]] = MAX(T_Inputs[x_axis]), MAX(T_Inputs[x_axis]), INDEX(T_Inputs[x_axis], MATCH([@[x_axis]], T_Inputs[x_axis], 1 ) + 1) ) – [@[x_axis]] ) + IF([@[x_axis]] = MAX(T_Inputs[x_axis]), MAX(T_Inputs[x_axis]), […]